International Review of Law and Economics最新文献

This study examines the effectiveness of Germany's reformed asset recovery regime, which was implemented in 2017, in terms of its ability to confiscate proceeds of crime and whether it qualifies as illicit enrichment legislation. The research utilizes Dornbierer's (2021) definition of illicit enrichment to evaluate the reformed asset recovery law and analyses trends in asset recovery by reviewing data on assets seized and confiscated since 2017. Additionally, the study compares the reformed asset recovery regime to its predecessor to determine whether weaknesses that reduced the effectiveness of the previous framework to confiscate PoC have been addressed, while also evaluating the reformed regime for any potential weaknesses that may hinder its ability to confiscate proceeds of crime. The study concludes that while the reformed regime introduces some elements of illicit enrichment, it does not satisfy the criteria for illicit enrichment legislation. Nonetheless, the reformed regime is more effective in confiscating proceeds of crime, as evidenced by the high value of assets seized since the reform was implemented. Additionally, most of the weaknesses that existed in the previous system have been resolved. However, the research highlights the remaining challenges regarding the confiscation of proceeds implicated in ML, fraud, and corruption, as well as profits from non-criminal offenses. Future studies could explore whether the increased confiscation of assets leads to a decrease in profit-driven crime.

This paper analyzes how the plaintiff selects her lawyer based on lawyers’ confidence in their trial-effort productivity. The plaintiff’s lawyer works on a contingent fee and makes litigation decisions on the plaintiff’s behalf. When the lawyer’s preferences are decisive at both the settlement and the trial stage, the plaintiff must anticipate that a more confident lawyer evaluates settlement compared to trial differently and implies different equilibrium trial effort levels. When the lawyer implements the plaintiff’s ideal settlement demand, only the influence of the confidence level on trial effort levels is relevant. In both cases, the plaintiff prefers an overconfident lawyer but would be harmed by excessive overconfidence. In many circumstances, the optimal confidence level maximizes the plaintiff’s trial payoff. However, when the lawyer’s preferences are decisive at both the settlement and trial stage, the plaintiff may choose an even more confident lawyer to raise the settlement level her lawyer demands from the defendant.

The "law and finance" paradigm posits that legal institutions play a crucial role in financial development; however, China has long been considered an exception. This study challenges that assumption by examining how improvements in the judiciary affect financial development in China. Using a quasi-natural experiment (i.e., staggered difference-in-difference estimation) over a twenty-year period, we find that the establishment of specialized financial adjudication institutions (i.e., financial courts and tribunals) in certain prefecture-level cities significantly reduces financing constraints for local listed companies. Further heterogeneity tests show that these effects are more pronounced among private enterprises, small and medium-sized enterprises, and companies in the central and western regions. Through the analysis of representative practices and interviews with relevant judges and enterprises, we find that China's financial judiciary demonstrates efficiency and proactiveness. Additionally, political considerations enable courts to regulate finance and maintain stability, improving the local financial legal environments and reducing transaction costs for market participants. By investigating the causal relationship between judicial reforms and financial development, our findings provide new insights into the "law and finance" theory and offer policy implications for addressing financial development gaps and promoting financial inclusion in emerging markets.

We use machine learning methods to predict which patents end up in court using the population of US patents granted between 2002 and 2005. We show that patent characteristics have significant predictive power, particularly value indicators and patent-owner characteristics. Furthermore, we analyze the predictive performance concerning the number of observations used to train the model, which patent characteristics to use, and which predictive model to choose. We find that extending the set of patent characteristics has the biggest positive impact on predictive performance. The model choice matters as well. More sophisticated machine learning methods provide additional value relative to a simple logistic regression. This result highlights the existence of non-linearities among and interactions across the predictors. Our results provide practical advice to anyone building patent litigation models, e.g., for litigation insurance or patent management more generally.

We analyze the optimal business model of a firm facing piracy. The firm either sells a premium version of its product, or also offers a free version along with the premium version. The firm can in turn impose restrictions on the use of the free version. Consumers can choose between the free and the premium version, but can also get an illegal digital copy. We show that freemium offers can reduce digital piracy by fighting free with free and that firms choose their optimal business model depending on the strength of copyright protection. Therefore, the strength of copyright protection can lead firms to choose a traditional business model rather than the new freemium model, impacting significantly the legal usage of the good.

Legal rights impose concomitant legal burdens. This paper considers the valuation and disposition of legal rights, and legal burdens, when courts cannot be relied upon to perfectly enforce rights. Because courts do not perfectly enforce rights, victims suffer some loss in the value of their rights depending on the degree of underenforcement. The welfare implications of trading away and abandoning rights are examined. Victims do not necessarily trade away rights when and only when such trade is socially desirable. Relatively pessimistic victims (who believe their rights are weaker than injurers do) trade away rights too cheaply. Extremely pessimistic victims abandon their rights. Implications for the enforceability of waivers, discrimination in courts, and legal ethics are discussed.

This study compares the efficiency of the strict liability and negligence rules in the case of a data breach. Contrary to standard results, we demonstrate that the strict liability rule cannot induce the efficient activity and care levels of a data controller. This is mainly due to possible positive externalities from data breaches, unlike in usual tort cases. We show that the negligence rule is more efficient than the strict liability rule if the positive externality is sufficiently large. The main insight is carried over to the case where a data controller uses a data processor to process personal information before selling it in the market. If hackers are explicitly introduced into the model, the care level of the data controller increases with the hacking activity, whereas the latter level decreases with the former. In this model, if the hacker’s gain is sufficiently small, the negligence rule can be made more efficient by adjusting due care to a harsher level than the equilibrium care level under strict liability to reduce hacking activity, although a pure strategy equilibrium may not exist for some due care levels.

This article examines the relationship between carbon disclosure, equity returns, and investor awareness in the Chinese A-share market. The study uses firm-disclosed and proprietary vendor-estimated carbon emissions data for A-share listed companies and investigates whether the presentation of carbon risks affects the cross-sectional equity returns of Chinese domestically listed firms. The results indicate that main-board listed companies with higher unscaled carbon emissions tend to earn higher equity returns, even after controlling for factors such as size, book-to-market ratio, momentum, and firm characteristics. Moreover, the observed carbon risk premium associated with carbon-emitting companies decreases as investor awareness improves following the launch of policy agendas promoting carbon neutrality in China. These findings support the research hypothesis that investors seek higher returns for equity investments in carbon-emission-intensive companies to compensate for the higher carbon risks associated with such firms. The study also highlights the importance of carbon disclosure, as companies generally disclose their ESG information when they have improved performance in reducing their carbon emissions.

This paper studies the role of environmental liability in shaping firms’ product differentiation choices, both horizontally (product design) and vertically (safety), and the ensuing welfare implications. We use a spatial Cournot duopoly where firms’ activity may entail accidental environmental harm. We show that for low levels of harm, both strict liability and negligence lead to a fully symmetric equilibrium with no differentiation: strict liability provides less output and more safety (thus, lower expected environmental harm) than negligence. Nevertheless, negligence affords higher welfare. For higher environmental harm, only strict liability yields an equilibrium where firms differentiate both horizontally and vertically: each firm becomes dominant (dominated) on a subset of local markets, where it delivers more (less) output and much more (less) safety than in the no-differentiation equilibrium under negligence. In this case, strict liability provides higher welfare.